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By: Anand Jha (Edited by) , Dinesh Sharma (Edited by) , Geetam Singh Tomar (Edited by)
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The integration of Artificial Intelligence (AI) into various sectors presents both opportunities and challenges, particularly in the field of cyber security. AI has become a crucial tool in detecting and preventing cyber threats, offering new ways to protect industries, governments, and individuals. However, this same technology can be exploited to create more sophisticated and dangerous threats, raising concerns about data privacy, border surveillance, and the vulnerabilities of the Internet of Things (IoT). As AI and cyber security converge, it becomes essential to understand the dual nature of AIits potential to both defend against and enable cyber-attacks.
Artificial Intelligence for Cyber Security and Industry 4.0 aims to provide a comprehensive overview of how AI is shaping the future of cyber security in the context of Industry 4.0. The book explores AI''s role in enhancing cyber defense mechanisms, such as intrusion detection and data anonymization, while also addressing the risks posed by malicious AI applications. Key topics include cloud security, IoT vulnerabilities, and ethical concerns regarding weaponized AI. The book also delves into cutting-edge technologies like Quantum Machine Learning (QML) and AI-driven healthcare systems, offering a forward-looking perspective on the challenges and solutions in this rapidly evolving field.
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